Constrained-Space Optimization and Reinforcement Learning for Complex Tasks.
Ya-Yen TsaiBo XiaoEdward JohnsGuang-Zhong YangPublished in: IEEE Robotics Autom. Lett. (2020)
Keyphrases
- reinforcement learning
- complex domains
- complex data
- transfer learning
- optimization algorithm
- concave convex procedure
- optimization process
- optimization problems
- low dimensional
- action space
- learning algorithm
- real world
- transferring knowledge
- reinforcement learning agents
- saddle point
- machine learning
- model free
- complex environments
- constrained optimization
- function approximation
- high level
- global optimization
- vector space
- state space